CN115705457A - Gas diffusion situation prediction method and system, storage medium and terminal - Google Patents
Gas diffusion situation prediction method and system, storage medium and terminal Download PDFInfo
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Abstract
The invention provides a gas diffusion situation prediction method and system, a storage medium and a terminal, which comprises the steps of collecting ground building information of a target area, and converting the ground building information into a geometric model of the target area; constructing a space-time distribution map database of the concentration values of the leaked gas under the conditions of different leakage scenes and different leakage related parameter combinations; when gas leaks, acquiring field leakage related parameter data; matching and obtaining a leakage gas concentration value space-time distribution map under the current leakage related parameter combination condition based on the leakage gas concentration value space-time distribution map database according to the field leakage related parameter data; and carrying out interpolation calculation on the time-space distribution map of the concentration value of the leaked gas to obtain a prediction result of the gas leakage situation. The gas diffusion situation prediction method and system, the storage medium and the terminal can effectively improve the accuracy, timeliness and intelligence of predicting the gas diffusion situation of the complex area in the emergency rescue scene.
Description
Technical Field
The invention relates to the technical field of emergency disposal of dangerous chemical sudden accidents, in particular to a gas diffusion situation prediction method and system, a storage medium and a terminal.
Background
Some toxic and harmful gas or liquid can be used or generated in the production and application process of the dangerous chemical related industry. If dangerous chemical leakage accidents occur, extremely serious harm is caused to the surrounding environment and related personnel. The dangerous chemical situation model is used for simulating and analyzing the leakage accident situation in the dangerous chemical accident emergency process, helping emergency personnel to quickly predict the diffusion trend and the influence range of toxic and harmful dangerous chemicals in limited time by using limited information, assisting the emergency personnel to carry out command and dispatch and rescue evacuation work, and reducing accident influence hazards, and is an important indispensable ring in the dangerous chemical accident emergency process.
In the prior art, there are various gas diffusion models that can be used to predict the distribution of contaminant concentrations. Among the more common and representative models are gaussian gas diffusion model, computational Fluid Dynamics (CFD) model, and so on. The CFD model is suitable for diffusion simulation under the condition of complex terrain, can provide higher precision, but needs long calculation time; the gaussian diffusion model is designed for rapidly evaluating the gas diffusion condition, and the model is simple and rapid in calculation, but is not suitable for application under complex terrain conditions. In an emergency scenario, the best predictive model should be computed quickly and accurately. However, through the comparison of the models commonly used at present, the prediction method of the gas leakage diffusion situation currently faces the main problems: the traditional gas diffusion prediction model cannot meet the requirements of both precision and speed.
In addition, regarding rescue of dangerous chemical accidents, weather and gas concentration monitoring data of the accident site environment are often combined, so that a model can be better corrected, visualized intelligent auxiliary command decision display is formed, and further data analysis and visualized study and judgment are performed.
Disclosure of Invention
In view of the above drawbacks of the prior art, an object of the present invention is to provide a gas diffusion situation prediction method and system, a storage medium, and a terminal, which can effectively improve the accuracy, timeliness, and intelligence of predicting a gas diffusion situation of a complex area in an emergency rescue scene.
To achieve the above and other related objects, the present invention provides a method for predicting a gas diffusion situation, comprising the steps of: collecting ground building information of a target area, and converting the ground building information into a geometric model of the target area; simulating the gas diffusion situation of the target area under different leakage related parameter combination conditions under different leakage scenes based on the CFD model, and constructing a time-space distribution map database of leakage gas concentration values under different leakage scenes; when gas leaks, acquiring field leakage related parameter data; matching and obtaining a leakage gas concentration value space-time distribution map based on the leakage gas concentration value space-time distribution map database according to the field leakage related parameter data; and carrying out interpolation calculation on the time-space distribution map of the concentration value of the leaked gas to obtain a prediction result of the gas leakage situation.
In an embodiment of the present invention, the ground building information includes factory layout information of the target area and location information of the major hazard source.
In an embodiment of the present invention, the method for simulating the gas diffusion situation of the target area in different leakage scenes based on the CFD model to construct different leakage scenes includes the following steps:
meshing the geometric model;
calculating a time sequence concentration value of the leaked gas of each point on the grid under different leakage scenes based on the CFD model aiming at different leakage related parameter combination conditions of a simulation site;
and constructing a time-space distribution map database of the leakage gas concentration value based on the coordinate information of the grid points and the leakage gas time sequence concentration value.
In an embodiment of the present invention, the on-site leakage-related parameter data includes a type of leaked gas, a gas leakage rate, a leakage location, an ambient wind speed, a wind direction, and a temperature.
In an embodiment of the present invention, the method further includes performing mesh division calibration on the time-space distribution diagram of the leaking gas concentration value, performing color rendering according to different concentrations, and simulating a motion diffusion trajectory of the leaking gas by using a timer in different color gradient regions.
In an embodiment of the present invention, the method further includes calculating population information in a leakage gas diffusion range according to the prediction result of the gas leakage situation, and generating a population density thermodynamic diagram.
In an embodiment of the present invention, the method further includes searching evacuation points around the gas leakage affected area according to the prediction result of the gas leakage situation, and performing a route rescue plan and an evacuation route plan.
The invention provides a gas diffusion situation prediction system which comprises an acquisition module, a construction module, a first acquisition module, a second acquisition module and a prediction module, wherein the acquisition module is used for acquiring a gas diffusion situation;
the acquisition module is used for acquiring ground building information of a target area and converting the ground building information into a geometric model of the target area;
the construction module is used for simulating the gas diffusion situation of the target area under different leakage scenes based on the CFD model, and constructing a leakage gas concentration value space-time distribution map database based on the geometric model under different leakage scenes;
the first acquisition module is used for acquiring field leakage related parameter data when gas leaks;
the second acquisition module is used for acquiring a leakage gas concentration value space-time distribution map based on the leakage gas concentration value space-time distribution map database matching according to the field leakage related parameter data;
the prediction module is used for carrying out interpolation calculation on the time-space distribution map of the leakage gas concentration value to obtain a prediction result of the gas leakage situation.
The present invention provides a storage medium having stored thereon a computer program which, when executed by a processor, implements the gas diffusion situation prediction method described above.
The invention provides a gas diffusion situation prediction terminal, which comprises: a processor and a memory;
the memory is used for storing a computer program;
the processor is used for executing the computer program stored in the memory so as to enable the gas diffusion situation prediction terminal to execute the gas diffusion situation prediction method.
As described above, the gas diffusion situation prediction method and system, the storage medium, and the terminal according to the present invention have the following advantageous effects:
(1) Through a situation model capable of explaining intergeneration in real time, the CFD model can be used for predicting the good accuracy of the gas diffusion situation of a complex area in an accident emergency scene, and the problem that the field model is too long in calculation time is solved;
(2) The real-time dynamic meteorological sensing information, the static landform, the static path and the static population information can be subjected to fusion calculation to participate in the visual emergency rescue command decision process, so that the problems of the existing model and the problems which are easy to occur in real-time transmission under the situation of bandwidth resource shortage are overcome, and the accuracy, the timeliness and the intelligent level of predicting the gas diffusion situation of a complex area in an emergency rescue scene are effectively improved;
(3) The emergency rescue research and judgment time is reduced, and the emergency rescue is favorable for rapid rescue on the accident site.
Drawings
FIG. 1 is a schematic diagram of a gas diffusion situation prediction method and system, a storage medium and a terminal according to the present invention.
FIG. 2 is a schematic diagram illustrating the prediction of gas leakage situation according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a gas leakage situation prediction system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram illustrating a terminal for predicting a gas leakage situation according to an embodiment of the present invention.
Description of the element reference numerals
31. Acquisition module
32. Building block
33. First acquisition module
34. Second acquisition module
35. Prediction module
41. Processor with a memory having a plurality of memory cells
42. Memory device
Detailed Description
The following embodiments of the present invention are provided by way of specific examples, and other advantages and effects of the present invention will be readily apparent to those skilled in the art from the disclosure herein. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention.
It should be noted that the drawings provided in the present embodiment are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
The gas diffusion situation prediction method, the gas diffusion situation prediction system, the storage medium and the terminal solve the problems that a CFD model is high in calculation accuracy but long in time consumption, a CFD case database is established according to the idea of changing space into time, key factors influencing gas leakage are extracted to serve as input parameters of a prediction algorithm, and an interpolation algorithm is used for replacing a Navier-Stokes equation in an original CFD model to solve unknown leakage conditions, so that the accuracy, timeliness and intelligent level of predicting the gas diffusion situation of a complex area in an emergency rescue scene are effectively improved.
As shown in fig. 1, in one embodiment, the method for predicting a gas diffusion situation of the present invention includes the following steps:
s1, collecting ground building information of a target area, and converting the ground building information into a geometric model of the target area.
Specifically, the ground building information of the target area, such as factory layout information of the target area and location information of a major hazard source, is collected in advance, and the ground building information is converted into a geometric model of the target area, such as three-dimensional modeling.
S2, simulating gas diffusion situations of the target area under different leakage scenes based on the CFD model, and constructing a space-time distribution map database of leakage gas concentration values under different leakage scenes and different leakage related parameter combination conditions.
Specifically, for parameter information such as different leakage source positions, types of leaked gas, leakage speed and weather conditions, the CFD model is used for simulating gas diffusion situations in different leakage scenes in the target area. Wherein, the gas leakage condition under different conditions can be simulated by changing the parameter information combination.
In an embodiment of the present invention, simulating the gas diffusion situation of the target area in different leakage scenes based on the CFD model, and constructing a gas concentration value spatiotemporal distribution map database based on the geometric model in different leakage scenes includes the following steps:
21 ) meshing the geometric model.
And carrying out mesh division on the geometric model by adopting an unstructured division mode.
22 For different leakage related parameter combination conditions of a simulation site, calculating a leakage gas time sequence concentration value of each point on the grid under different leakage scenes based on the CFD model.
Different leakage scenes are simulated by changing parameters such as leakage source positions, types of leaked gas, leakage speed and weather conditions, and the time sequence concentration value of the leaked gas of each point on the grid is calculated based on the CFD model, so that a gas diffusion situation diagram can be constructed.
23 Construct the leakage gas concentration value spatiotemporal distribution map database based on the coordinate information of the grid points and the leakage gas time series concentration values.
And the leakage gas concentration value space-time distribution database stores coordinate information of each grid point in a target area and a corresponding leakage gas time sequence concentration value.
And S3, acquiring field leakage related parameter data when the gas leaks.
Specifically, when gas leakage occurs, the type of leaked gas, the gas leakage speed and the leakage position information of a leakage scene, and the related information such as the ambient wind speed, the wind direction and the temperature which are rapidly acquired by a sensor and the like on site are acquired.
And S4, matching and obtaining a leakage gas concentration value space-time distribution map based on the leakage gas concentration value space-time distribution map database according to the field leakage related parameter data.
Specifically, according to the field leakage related parameter data, the leakage gas time sequence concentration value matched with each position is obtained according to the leakage gas concentration value space-time distribution map database.
And S5, carrying out interpolation calculation on the space-time distribution map of the leakage gas concentration value to obtain a prediction result of the gas leakage situation.
Specifically, an interpolation algorithm is adopted to perform interpolation calculation on the time-space distribution map of the leakage gas concentration value, so that a prediction result of the gas leakage situation is obtained and can be displayed on a map interface. Preferably, a radial angle of a diffusion range is calculated according to the accident source diffusion area, diffusion model elevation data based on the radial angle is calculated, and graph drawing of diffusion height (y axis) -diffusion radial distance (x axis) is performed. Wherein, reading different heights, extracting a horizontal concentration distribution diagram of the height every 1 meter, and calculating a concentration contour line of the height screen.
In an embodiment of the present invention, the method for predicting a gas diffusion situation of the present invention further includes performing mesh division and calibration on the time-space distribution map of the leaked gas concentration value, performing color rendering according to different concentrations, and simulating a motion diffusion trajectory of the leaked gas by using a timer in different color gradient regions, so as to intuitively predict a maximum accident influence range. For example, red, orange and yellow are selected from RGB colors to represent 3 color gradients, which correspond to different contour region layers, 3 contour concentration reference ERPG standards (Emergency Response Planning guides), and the like. In a geographic information system, a timer is arranged, and a leaked gas diffusion motion track is simulated in an animation playing mode within a certain time.
In an embodiment of the present invention, the method for predicting a gas diffusion situation of the present invention further includes calculating population information in a leakage gas diffusion range according to the prediction result of the gas leakage situation, and generating a population density thermodynamic diagram. And calculating the population density of a unit square kilometer in the maximum influence range of the evacuation, analyzing the population density thermodynamic diagram, and loading the population density thermodynamic diagram into a layer of a geographic information system.
In an embodiment of the present invention, the method for predicting a gas diffusion situation of the present invention further includes searching evacuation points around the gas leakage affected area according to the prediction result of the gas leakage situation, and performing route rescue planning and evacuation route planning. And during path planning, the wind direction or the side wind direction is taken as a planning criterion, and meanwhile, the influence range of the diffusion model calculation is avoided, and the optimal path is calculated.
As shown in fig. 3, in an embodiment, the gas diffusion situation prediction system of the present invention includes an acquisition module 31, a construction module 32, a first acquisition module 33, a second acquisition module 34, and a prediction module 35.
The acquisition module 31 is configured to acquire ground building information of a target area, and convert the ground building information into a geometric model of the target area.
The building module 32 is connected to the collecting module 31, and configured to simulate a gas diffusion situation of the target region in different leakage scenes based on the CFD model, and build a leakage gas concentration value space-time distribution map database based on the geometric model in different leakage scenes.
The first obtaining module 33 is configured to obtain field leakage-related parameter data when a gas leakage occurs.
The second obtaining module 34 is connected to the constructing module 32 and the first obtaining module 33, and configured to obtain a leakage gas concentration value spatiotemporal distribution map based on the leakage gas concentration value spatiotemporal distribution map database matching according to the field leakage related parameter data.
The prediction module 35 is connected to the second obtaining module 34, and configured to perform interpolation calculation on the time-space distribution map of the leakage gas concentration value, so as to obtain a prediction result of the gas leakage situation.
The structures and principles of the acquisition module 31, the construction module 32, the first acquisition module 33, the second acquisition module 34, and the prediction module 35 correspond to the steps in the gas diffusion situation prediction method one to one, and therefore are not described herein again.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the x module may be a processing element separately set up, or may be integrated into a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and a processing element of the apparatus calls and executes the function of the x module. The other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. As another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
As shown in fig. 4, in an embodiment, the gas diffusion situation prediction terminal of the present invention includes: a processor 41 and a memory 42.
The memory 42 is used for storing computer programs.
The memory 42 includes: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
The processor 41 is connected to the memory 42, and is configured to execute the computer program stored in the memory 42, so that the gas diffusion situation prediction terminal executes the gas diffusion situation prediction method described above.
Preferably, the Processor 41 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components.
In conclusion, the gas diffusion situation prediction method and system, the storage medium and the terminal can predict the gas diffusion situation of a complex area in an accident emergency scene by using the CFD model through a real-time interpretable interoperable situation model, and avoid the problem of overlong field model calculation time; real-time dynamic weather sensing information, static landform information, static path information and static population information can be subjected to fusion calculation to participate in a visual emergency rescue command decision process, so that the problems of the existing model and the problems which are easy to occur in real-time transmission under the situation of bandwidth resource shortage are overcome, and the accuracy, timeliness and intelligent level of predicting the gas diffusion situation of a complex area in an emergency rescue scene are effectively improved; the emergency rescue research and judgment time is reduced, and the emergency rescue is favorable for rapid rescue on the accident site. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A gas diffusion situation prediction method is characterized in that: the method comprises the following steps:
collecting ground building information of a target area, and converting the ground building information into a geometric model of the target area;
simulating the gas diffusion situation of the target area under different leakage scenes based on the CFD model, and constructing a space-time distribution map database of the leakage gas concentration values under different leakage scenes and different leakage related parameter combination conditions;
when gas leaks, acquiring field leakage related parameter data;
matching and obtaining a leakage gas concentration value space-time distribution map based on the leakage gas concentration value space-time distribution map database according to the field leakage related parameter data;
and carrying out interpolation calculation on the time-space distribution map of the concentration value of the leaked gas to obtain a prediction result of the gas leakage situation.
2. The gas diffusion situation prediction method according to claim 1, characterized in that: the ground construction information includes factory layout information for the target area and location information for significant hazard sources.
3. The gas diffusion situation prediction method according to claim 1, characterized in that: simulating the gas diffusion situation of the target area under different leakage scenes based on the CFD model, and constructing different leakage scenes, wherein the database of the gas concentration value space-time distribution diagram under different leakage related parameter combination conditions comprises the following steps:
meshing the geometric model;
calculating a leaking gas time sequence concentration value of each point on the grid under different leaking scenes based on the CFD model aiming at different leaking related parameter combination conditions of a simulation site;
and constructing a space-time distribution map database of the leakage gas concentration values under different leakage related parameter combination conditions based on the coordinate information of the grid points and the leakage gas time sequence concentration values.
4. The gas diffusion situation prediction method according to claim 1, characterized in that: the site leak related parameter data includes a leak gas type, a gas leak rate, a leak location, an ambient wind speed, a wind direction, and a temperature.
5. The gas diffusion situation prediction method according to claim 1, characterized in that: and the method also comprises the steps of carrying out grid division calibration on the time-space distribution diagram of the concentration value of the leaked gas, carrying out color rendering according to different concentrations, and simulating the motion diffusion track of the leaked gas by different color gradient areas through a timer.
6. The gas diffusion situation prediction method according to claim 1, characterized in that: and calculating population information in a leakage gas diffusion range according to the prediction result of the gas leakage situation to generate a population density thermodynamic diagram.
7. The gas diffusion situation prediction method according to claim 1, characterized in that: and searching evacuation points around the gas leakage influence area according to the prediction result of the gas leakage situation, and performing path rescue planning and evacuation route planning.
8. A gas diffusion situation prediction system, characterized by: the device comprises an acquisition module, a construction module, a first acquisition module, a second acquisition module and a prediction module;
the acquisition module is used for acquiring ground building information of a target area and converting the ground building information into a geometric model of the target area;
the construction module is used for simulating gas diffusion situations of the target area under different leakage scenes based on the CFD model, and constructing a space-time distribution map database of leakage gas concentration values under different leakage related parameter combination conditions in different leakage scenes;
the first acquisition module is used for acquiring field leakage related parameter data when gas leaks;
the second acquisition module is used for matching and acquiring a time-space distribution map of the leakage gas concentration value based on the time-space distribution map database of the leakage gas concentration value according to the field leakage related parameter data;
the prediction module is used for carrying out interpolation calculation on the time-space distribution map of the leakage gas concentration value to obtain a prediction result of the gas leakage situation.
9. A storage medium having stored thereon a computer program, characterized in that the program, when being executed by a processor, is adapted to carry out the gas diffusion situation prediction method of any one of claims 1 to 7.
10. A gas diffusion situation prediction terminal, comprising: a processor and a memory;
the memory is used for storing a computer program;
the processor is configured to execute the memory-stored computer program to cause the gas diffusion situation prediction terminal to perform the gas diffusion situation prediction method of any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116739870A (en) * | 2023-07-14 | 2023-09-12 | 大庆恒驰电气有限公司 | Emergency system management system and method |
| CN117763934A (en) * | 2023-06-21 | 2024-03-26 | 吉林建筑大学 | Micro pipe gallery gas monitoring method and system based on deep learning |
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2021
- 2021-08-10 CN CN202110915042.8A patent/CN115705457A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117763934A (en) * | 2023-06-21 | 2024-03-26 | 吉林建筑大学 | Micro pipe gallery gas monitoring method and system based on deep learning |
| CN116739870A (en) * | 2023-07-14 | 2023-09-12 | 大庆恒驰电气有限公司 | Emergency system management system and method |
| CN116739870B (en) * | 2023-07-14 | 2024-05-31 | 大庆恒驰电气有限公司 | Emergency system management system and method |
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