CN115097060A - Fire prediction method and device, electronic equipment and readable storage medium - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 43
- 239000007789 gas Substances 0.000 claims abstract description 194
- 238000001514 detection method Methods 0.000 claims abstract description 76
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 68
- 239000001301 oxygen Substances 0.000 claims abstract description 68
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 68
- 238000002485 combustion reaction Methods 0.000 claims abstract description 63
- 239000000463 material Substances 0.000 claims abstract description 26
- 230000008859 change Effects 0.000 claims description 23
- 238000004590 computer program Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 9
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 7
- 239000003546 flue gas Substances 0.000 claims description 4
- 238000012544 monitoring process Methods 0.000 claims description 4
- 239000000779 smoke Substances 0.000 description 7
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical group [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 6
- 229910052799 carbon Inorganic materials 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 239000000126 substance Substances 0.000 description 4
- 229910002091 carbon monoxide Inorganic materials 0.000 description 3
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- 229910002092 carbon dioxide Inorganic materials 0.000 description 2
- 239000001569 carbon dioxide Substances 0.000 description 2
- 239000000567 combustion gas Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 241000282414 Homo sapiens Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- UBAZGMLMVVQSCD-UHFFFAOYSA-N carbon dioxide;molecular oxygen Chemical compound O=O.O=C=O UBAZGMLMVVQSCD-UHFFFAOYSA-N 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
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- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- G01N31/12—Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroup; Apparatus specially adapted for such methods using combustion
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- G—PHYSICS
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- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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Abstract
The application relates to a fire prediction method, a fire prediction device, electronic equipment and a readable storage medium, wherein the method comprises the steps of acquiring fire scene information, current gas detection data and original gas detection data, wherein the gas detection data comprises gas types and gas concentrations; determining target gas generated by combustion according to the current gas detection data and the original gas detection data; determining target combustible materials, target combustible material amount and layout of the target combustible materials according to target gas and fire scene information based on a preset first determination rule, wherein the fire scene information comprises a building model, building properties and fire position information; determining combustion conditions according to the layout of the target combustibles and a building model; and determining the oxygen concentration and the target gas concentration according to the current gas detection data, and determining the combustion time according to the target gas concentration, the oxygen concentration and the target combustible amount based on a preset second determination rule. The application is convenient for field personnel to predict the fire condition.
Description
Technical Field
The present disclosure relates to the field of fire prediction, and in particular, to a fire prediction method, a fire prediction apparatus, and an electronic device.
Background
The fire hazard is a great hidden danger threatening the survival of human beings, and particularly, in recent years, frequent fire hazards cause great life and property loss to people.
When a fire occurs, fire fighting personnel are needed to fight the fire, and the fire fighting personnel often need a certain time when arriving, and the fire situation cannot be known when the fire fighting personnel enter the fire fighting equipment, some counter measures cannot be accurately made, and the situation of more loss caused by decision-making errors can occur.
With respect to the related art in the above, the inventors have considered that when a fire breaks out, the site personnel cannot know the defect of the fire situation.
Disclosure of Invention
In order to facilitate field personnel to predict fire conditions, the application provides a fire prediction method, a fire prediction device and a readable storage medium for electronic equipment.
In a first aspect, the present application provides a fire prediction method, which adopts the following technical solutions:
a method of fire prediction, the method comprising:
acquiring fire scene information, current gas detection data and original gas detection data, wherein the gas detection data comprises gas types and gas concentrations;
determining target gas generated by combustion according to the current gas detection data and the original gas detection data;
determining target combustibles, target combustible amount and layout of the target combustibles according to the target gas and fire scene information based on a preset first determination rule, wherein the fire scene information comprises a building model, building properties and fire position information;
determining combustion conditions according to the layout of the target combustibles and a building model;
and determining the oxygen concentration and the target gas concentration according to the current gas detection data, and determining the combustion time according to the target gas concentration, the oxygen concentration and the target combustible amount based on a preset second determination rule.
By adopting the technical scheme, the method comprises the steps of obtaining fire scene information, current gas detection data and original gas detection data, determining target gas generated by combustion according to the current gas detection data and the original gas detection data, determining the target combustible, the target combustible amount and the layout of the target combustible according to the target gas and the fire scene information based on a preset first determination rule, determining the combustion condition according to the layout of the target combustible and a building model, so that outside personnel can roughly know the scene fire condition without entering the fire scene, taking countermeasures according to the fire condition, reducing the loss caused by the fire to a certain extent, determining the combustion time according to the target gas concentration, the oxygen concentration and the target combustible amount based on a preset second determination rule, determining the combustion time, and taking correct countermeasures for the fire, the loss is reduced, and the scheme is adopted to facilitate the prediction of the fire disaster situation.
Optionally, the method for determining the target gas generated by combustion according to the current gas detection data and the original gas detection data specifically includes:
comparing the current gas detection data with the original gas detection data to determine a newly added first gas;
comparing the current gas detection data with the original gas detection data, and determining the concentration variation of each gas in the original gas data;
judging whether the concentration variation within a preset time is greater than a first preset value;
if yes, judging that the gas corresponding to the concentration amount is a second gas;
the first gas and the second gas are target gases generated by combustion.
Optionally, the method for determining the target combustible, the target combustible amount, and the layout of the target combustible according to the target gas and the fire scene information based on the preset first determination rule specifically includes:
determining combustible elements corresponding to the target gas according to the target gas and a preset flue gas comparison table;
determining combustible materials corresponding to the combustible elements as target combustible materials according to the fire scene information and the combustible elements;
determining the layout of the target combustibles according to the building model;
and determining the target combustible amount according to the layout of the target combustible.
Optionally, the method for determining the combustion condition according to the layout of the target combustibles and the building model specifically includes:
determining the coverage range of the target combustible in the building according to the layout of the target combustible;
and simulating a fire condition in the building model according to the coverage range to determine the combustion condition.
Optionally, the method for determining the oxygen concentration and the target gas concentration according to the current gas detection data, and determining the combustion time according to the target gas concentration, the oxygen concentration, and the target combustible amount based on a preset second determination rule specifically includes:
drawing a target gas concentration curve according to the target gas concentration, wherein the target gas concentration curve is a curve of the target gas concentration changing along with time;
drawing an oxygen concentration change curve according to the oxygen concentration, wherein the oxygen concentration change curve is a curve of the oxygen concentration changing along with time;
judging whether the oxygen is sufficient or not according to the oxygen concentration change curve;
if yes, determining the combustion speed according to the target gas concentration curve;
the combustion time is predicted from the combustion speed and the target combustible amount.
Optionally, the determining whether the oxygen is sufficient according to the oxygen concentration variation curve, and if not, the method further includes:
monitoring and monitoring the oxygen concentration in real time, and judging that the fire is extinguished when the oxygen concentration is less than a first preset value or the slope of the oxygen concentration change curve is less than a second preset value.
In a second aspect, the present application provides a fire prediction device, which adopts the following technical solution:
a fire prediction apparatus comprising:
the system comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module is used for acquiring fire scene information, current gas detection data and original gas detection data, and the gas detection data comprises gas types and gas concentrations;
the processing module is used for determining target gas generated by combustion according to the current gas detection data and the original gas detection data;
the first determining module is used for determining target combustible substances, target combustible substance amount and layout of the target combustible substances according to the target gas and the fire scene information based on a preset first determining rule;
the second determining module is used for determining the combustion condition according to the layout of the target combustible and the building model;
and the third determining module is used for determining the oxygen concentration and the target gas concentration according to the current gas detection data, and determining the combustion time according to the target gas concentration, the oxygen concentration and the target combustible amount based on a preset second determining rule.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device comprising a memory and a processor, the memory having stored thereon a computer program of a fire prediction method that is loadable and executable by the processor.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium stores a computer program of a fire prediction method that can be loaded and executed by a processor.
In summary, the present application includes at least one of the following beneficial technical effects:
the method comprises the steps of obtaining fire scene information, current gas detection data and original gas detection data, determining target gas generated by combustion according to the current gas detection data and the original gas detection data, determining the target combustible, the target combustible amount and the layout of the target combustible according to the target gas and the fire scene information based on a preset first determination rule, determining the combustion condition according to the layout of the target combustible and a building model, enabling outside personnel to roughly know the scene fire condition without entering the fire scene, facilitating the response measures according to the fire condition, reducing the loss caused by the fire to a certain extent, determining the combustion time according to the target gas concentration, the oxygen concentration and the target combustible amount based on a preset second determination rule, determining the combustion time, and making correct response measures for the fire to reduce the loss, by adopting the scheme, the fire disaster situation can be conveniently predicted.
Drawings
Fig. 1 is a flowchart of a fire prediction method provided in the present application.
Fig. 2 is a block diagram showing the structure of a fire prediction device according to the present invention.
Fig. 3 is a schematic structural diagram of an electronic device provided in the present application.
Description of reference numerals: 200. a fire prediction device; 201. an acquisition module; 202. a processing module; 203. a first determination module; 204. a second determination module; 205. a third determining module; 301. a CPU; 302. a ROM; 303. a RAM; 304. an I/O interface; 305. an input section; 306. an output section; 307. a storage section; 308. a communication section; 309. a driver; 310. a removable media.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The embodiment of the application discloses a fire prediction method. Referring to fig. 1, a fire prediction method includes:
s101: and acquiring fire scene information, current gas detection data and original gas detection data.
Specifically, the fire scene information comprises a building model, building properties and fire position information of a fire, the building model of the fire is called when the fire occurs, the building model and the building properties can be stored in a server in advance or can be manually input by field workers, the fire position information can be transmitted to the server in real time by a positioning module arranged in the building, or the fire position information can be manually input to the server by the field workers; the original gas detection data are the types of gases contained in the air in the building and the gas concentration corresponding to each gas when the original gas detection data are normal, the types of gases contained in the original gas detection data are oxygen, carbon dioxide, nitrogen, water vapor and the like, and the original gas detection data can be detected in real time through a gas detector arranged in the building and uploaded to a server.
When the current gas detection data indicates that a fire disaster occurs, the types of gases contained in the air and the concentration corresponding to each gas possibly cause that a gas detector arranged in a building is damaged and the detection of the gases cannot be realized due to the fire disaster, and at the moment, personnel cannot conveniently enter the building, therefore, the types of the gases and the concentrations of various gases in the current environment are detected by a smoke analyzer, the walls of the building or the side walls of a smoke outlet pipeline can be perforated when the types and the concentrations of the gases in the air of the fire disaster site are obtained by the smoke analyzer, a probe of the smoke analyzer is extended into the fire disaster site, the types of the gases contained in the air of the fire disaster site are determined by the sucked air in a pump suction type measurement mode, the types and the concentrations of the gases in the air of the fire disaster site are detected by adopting the above mode, the detection can be realized without entering the fire disaster site, and the safety of the detection personnel is ensured, the probe of the flue gas analyzer can be connected with various different gas detection sensors in order to meet the measurement requirements, so that the detection of the types and the concentration of air can be realized. In this embodiment, detecting the type and concentration of the gas in the air by using the flue gas analyzer in combination with other gas sensors is a known technical means for those skilled in the art, and will not be described herein in detail.
S102: and determining the target gas generated by combustion and the concentration of the target gas according to the current gas detection data and the original gas detection data.
Specifically, the current gas detection data and the original gas detection data are compared, a newly added first gas in the air can be determined, meanwhile, the change of the concentration of each gas in the original gas detection data after a fire occurs is compared, when the concentration increment of a certain gas exceeds a preset value, the gas is judged to belong to a second gas, the first gas and the second gas are target gases generated by combustion, and after the target gases are determined, the concentration of each target gas is determined according to the target detection data.
For example: when the comburent is carbon, when the oxygen in the air is insufficient, the carbon is combusted to generate carbon monoxide, the carbon monoxide is the first gas, when the oxygen is sufficient, the carbon is combusted to generate carbon dioxide, and the concentration of the carbon dioxide in the air can be gradually increased.
S103: and predicting the target combustible and the target combustible amount according to the target gas, the building model and the building property based on a preset first determination rule.
Specifically, after the target gas is determined, the server calls a pre-stored smoke comparison table, the smoke comparison table comprises combustion elements and combustion gas generated by combustion of each combustion element, the determined target gas is compared with the combustion gas in the smoke comparison table, the combustion elements possibly corresponding to the target gas are determined, after the combustion elements are determined, combustible materials possibly containing the combustible elements in the building are judged according to the building properties, a combustion material comparison table is established through big data, the combustion material comparison table comprises the building properties and the combustible materials, a certain corresponding relation exists between the building properties and the combustible materials, namely, after the building properties are determined, the building properties are inquired in the combustion material comparison table according to the building properties, the combustible materials contained in the building can be determined, after the combustible materials are determined, the combustible elements contained in each combustible material can be determined according to the determined combustible materials, and determining the combustible containing combustible elements as target combustible, and knowing the layout and the quantity of the target combustible on the fire scene according to the building model after determining the target combustible, so that the target combustible quantity can be predicted.
For example: the property of the building with the fire is office property, the target gas is detected to be carbon monoxide, the combustible element is judged to be carbon at the moment, a combustion object comparison table is searched, the combustible containing carbon in the building with the office property comprises an office table and an office chair, the combustible containing carbon is the office table, the office chair and paper, the overall layout of the building can be determined according to a building model, the number and the layout of the office table and the office chair can be roughly determined, and therefore the target combustion object amount can be determined.
And S104, determining the combustion condition according to the layout of the target combustible and the building model.
Specifically, after the target combustible is determined, the coverage range of the current fire can be predicted by combining the layout of the target combustible, and the possible fire situation can be simulated in the building model by combining the building model, so that the worker can determine the combustion situation in the building, wherein the combustion situation is the possible coverage range of the fire. By adopting the scheme, the staff can make countermeasures according to the worst case when determining the possible coverage area of the fire, and the loss caused by casualties and the fire can be reduced to a certain extent.
S105: and predicting the combustion time according to the target gas concentration, the oxygen concentration and the target combustible amount based on a preset second determination rule.
Specifically, the burning time is the longest time that the target combustible substance can burn, and oxygen is taken as a necessary condition for burning, so that when the oxygen is insufficient, the fire is extinguished; the method comprises the steps of firstly obtaining oxygen concentration, drawing an oxygen concentration change curve according to the obtained oxygen concentration, obtaining target gas concentration, and drawing a target gas concentration change curve, wherein the oxygen concentration change curve is a change curve of the oxygen concentration along with time, and the target gas concentration change curve is a change curve of the target gas concentration along with time.
In one example, the oxygen concentration difference value in each preset time period is determined according to the oxygen concentration change curve, when the difference value is within a preset range, the oxygen is sufficient at the moment, when the oxygen is sufficient, the change speed of the target gas concentration can be calculated according to the target gas concentration change curve, the combustion speed of the target combustible can be calculated according to the change speed of the target gas, and after the combustion speed of the target combustible is determined, the combustion time of the target combustible can be predicted according to the target combustible amount. In this example, when the oxygen is sufficient, determining the combustion speed of the target combustible according to the change speed of the target gas concentration is a technical means known to those skilled in the art and will not be described in detail herein.
In another example, the oxygen concentration is determined to be in a downward trend according to the oxygen concentration variation curve, the oxygen amount is judged to be sufficient when the variation amplitude of the oxygen concentration is smaller than a threshold value after the oxygen concentration is reduced to a certain concentration, and the fire is judged to be extinguished when the variation amplitude of the oxygen concentration is smaller than a threshold value.
When the difference value of the oxygen concentration in each preset time period is larger than a preset value and the oxygen concentration change curve becomes a descending trend along with the increase of the combustion time, the oxygen concentration is judged to be insufficient, when the oxygen concentration is insufficient, the oxygen concentration of a fire scene is detected in real time, and when the oxygen concentration is smaller than a first preset value or the slope of the oxygen concentration change curve is smaller than a second preset value, the fire is judged to be extinguished, wherein in the embodiment, the first preset value and the second preset value are both 0. By adopting the mode, the fire disaster can be predicted to a certain extent, the fire disaster situation can be roughly known without entering the fire disaster field, and the corresponding strategy can be conveniently formulated in real time according to the fire disaster situation so as to reduce the loss caused by the fire disaster.
The embodiment of the application also discloses a fire prediction device. Referring to fig. 2, the fire prediction apparatus includes:
an obtaining module 201, configured to obtain fire scene information, current gas detection data, and original gas detection data, where the gas detection data includes a gas type and a gas concentration;
the processing module 202 is used for determining target gas generated by combustion according to the current gas detection data and the original gas detection data;
the first determining module 203 is used for determining target combustible materials, target combustible material amount and layout of the target combustible materials according to target gas and fire scene information based on a preset first determining rule;
a second determination module 204 for determining a combustion condition according to the layout of the target combustibles and the building model;
and the third determining module 205 is configured to determine the oxygen concentration and the target gas concentration according to the current gas detection data, and determine the combustion time according to the target gas concentration, the oxygen concentration and the target combustible amount based on a preset second determining rule.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the described module may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
The embodiment of the application discloses an electronic device. Referring to fig. 3, the electronic device includes a Central Processing Unit (CPU)301 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)302 or a program loaded from a storage section 307 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for system operation are also stored. The CPU 301, ROM 302, and RAM 303 are connected to each other via a bus. An input/output (I/O) interface 304 is also connected to the bus.
The following components are connected to the I/O interface 304: an input section 305 including a keyboard, a mouse, and the like; an output section 306 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 307 including a hard disk and the like; and a communication section 308 including a network interface card such as a LAN card, a modem, or the like. The communication section 308 performs communication processing via a network such as the internet. Drivers 309 are also connected to the I/O interface 304 as needed. A removable medium 310 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 309 as necessary, so that a computer program read out therefrom is mounted into the storage section 307 as necessary.
In particular, according to embodiments of the present application, the process described above with reference to the flowchart fig. 1 may be implemented as a computer software program. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a machine-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communication section 308, and/or installed from the removable medium 310. The computer program, when executed by the Central Processing Unit (CPU)301, performs the above-described functions defined in the apparatus of the present application.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the application referred to in the present application is not limited to the embodiments in which the above-mentioned features are combined in particular, and also encompasses other embodiments in which the above-mentioned features or their equivalents are combined arbitrarily without departing from the concept of the application. For example, the above features may be replaced with (but not limited to) features having similar functions as those described in this application.
Claims (9)
1. A method of fire prediction, characterized by: the method comprises the following steps:
acquiring fire scene information, current gas detection data and original gas detection data, wherein the gas detection data comprises gas types and gas concentrations;
determining target gas generated by combustion according to the current gas detection data and the original gas detection data;
determining target combustible materials, target combustible material amount and layout of the target combustible materials according to the target gas and fire scene information based on a preset first determination rule, wherein the fire scene information comprises a building model, building properties and fire position information;
determining combustion conditions according to the layout of the target combustibles and a building model;
and determining the oxygen concentration and the target gas concentration according to the current gas detection data, and determining the combustion time according to the target gas concentration, the oxygen concentration and the target combustible amount based on a preset second determination rule.
2. A fire prediction method as defined in claim 1, wherein: the method for determining the target gas generated by combustion according to the current gas detection data and the original gas detection data specifically comprises the following steps:
comparing the current gas detection data with the original gas detection data to determine a newly added first gas;
comparing the current gas detection data with the original gas detection data, and determining the concentration variation of each gas in the original gas data;
judging whether the concentration variation in a preset time is greater than a first preset value or not;
if yes, judging that the gas corresponding to the concentration amount is a second gas;
the first gas and the second gas are target gases generated by combustion.
3. A fire prediction method as defined in claim 2, wherein: the method for determining the target combustible, the target combustible amount and the layout of the target combustible according to the target gas and the fire scene information based on the preset first determination rule specifically comprises the following steps:
determining combustible elements corresponding to the target gas according to the target gas and a preset flue gas comparison table;
determining combustible materials corresponding to the combustible elements as target combustible materials according to the fire scene information and the combustible elements;
determining a layout of target combustibles according to a building model;
and determining the target combustible amount according to the layout of the target combustible.
4. A fire prediction method as defined in claim 3, wherein: the method for determining the combustion condition according to the layout of the target combustibles and the building model specifically comprises the following steps:
determining the coverage range of the target combustible in the building according to the layout of the target combustible;
and simulating a fire condition in the building model according to the coverage range to determine the combustion condition.
5. A fire prediction method as defined in claim 1, wherein: the method for determining the oxygen concentration and the target gas concentration according to the current gas detection data and determining the combustion time according to the target gas concentration, the oxygen concentration and the target combustible amount based on a preset second determination rule specifically comprises the following steps:
drawing a target gas concentration curve according to the target gas concentration, wherein the target gas concentration curve is a curve of the target gas concentration changing along with time;
drawing an oxygen concentration change curve according to the oxygen concentration, wherein the oxygen concentration change curve is a curve of the oxygen concentration changing along with time;
judging whether the oxygen is sufficient or not according to the oxygen concentration change curve;
if yes, determining the combustion speed according to the target gas concentration curve;
the combustion time is predicted from the combustion speed and the target combustible amount.
6. A fire prediction method as defined in claim 5, wherein: whether the oxygen is sufficient is judged according to the oxygen concentration change curve, and if not, the method further comprises the following steps:
monitoring and monitoring the oxygen concentration in real time, and judging that the fire is extinguished when the oxygen concentration is less than a first preset value or the slope of the oxygen concentration change curve is less than a second preset value.
7. A fire prediction apparatus, characterized in that: the method comprises the following steps:
the system comprises an acquisition module (201) for acquiring fire scene information, current gas detection data and original gas detection data, wherein the gas detection data comprises gas types and gas concentrations;
the processing module (202) is used for determining target gas generated by combustion according to the current gas detection data and the original gas detection data;
the first determining module (203) is used for determining target combustible materials, target combustible material amount and layout of the target combustible materials according to the target gas and the fire scene information based on a preset first determining rule;
a second determination module (204) for determining a combustion condition based on the layout of the target combustibles and the building model;
and the third determination module (205) is used for determining the oxygen concentration and the target gas concentration according to the current gas detection data, and determining the combustion time according to the target gas concentration, the oxygen concentration and the target combustible amount based on a preset second determination rule.
8. An electronic device, characterized in that: comprising a memory and a processor, said memory having stored thereon a computer program which can be loaded by the processor and which performs the method of any of claims 1 to 6.
9. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 6.
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CN202210752721.2A CN115097060A (en) | 2022-06-29 | 2022-06-29 | Fire prediction method and device, electronic equipment and readable storage medium |
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CN202210752721.2A CN115097060A (en) | 2022-06-29 | 2022-06-29 | Fire prediction method and device, electronic equipment and readable storage medium |
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002117363A (en) * | 2000-10-11 | 2002-04-19 | Tokio Marine & Fire Insurance Co Ltd | Fire risk evaluation system, fire risk evaluation method and recording medium |
CN106128004A (en) * | 2016-07-19 | 2016-11-16 | 中国民航大学 | Fire detector based on array gas sensor |
KR20190110195A (en) * | 2018-03-20 | 2019-09-30 | 주식회사 포스코건설 | Apparatus for monitoring fire of storage facility for solid refuse fuel and method thereof |
CN110705071A (en) * | 2019-09-24 | 2020-01-17 | 浙江树人学院(浙江树人大学) | Fire fighting three-dimensional digital plan method fusing fire prediction model |
US20200066140A1 (en) * | 2017-03-15 | 2020-02-27 | Carrier Corporation | System and method for indicating building fire danger ratings |
CN211454755U (en) * | 2019-11-19 | 2020-09-08 | 魏蒙蒙 | Fire alarm system capable of accurately determining comburent |
CN112766909A (en) * | 2021-01-20 | 2021-05-07 | 上海船舶电子设备研究所(中国船舶重工集团公司第七二六研究所) | Intelligent management and control system and method suitable for ship fire safety and computer medium |
-
2022
- 2022-06-29 CN CN202210752721.2A patent/CN115097060A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002117363A (en) * | 2000-10-11 | 2002-04-19 | Tokio Marine & Fire Insurance Co Ltd | Fire risk evaluation system, fire risk evaluation method and recording medium |
CN106128004A (en) * | 2016-07-19 | 2016-11-16 | 中国民航大学 | Fire detector based on array gas sensor |
US20200066140A1 (en) * | 2017-03-15 | 2020-02-27 | Carrier Corporation | System and method for indicating building fire danger ratings |
KR20190110195A (en) * | 2018-03-20 | 2019-09-30 | 주식회사 포스코건설 | Apparatus for monitoring fire of storage facility for solid refuse fuel and method thereof |
CN110705071A (en) * | 2019-09-24 | 2020-01-17 | 浙江树人学院(浙江树人大学) | Fire fighting three-dimensional digital plan method fusing fire prediction model |
CN211454755U (en) * | 2019-11-19 | 2020-09-08 | 魏蒙蒙 | Fire alarm system capable of accurately determining comburent |
CN112766909A (en) * | 2021-01-20 | 2021-05-07 | 上海船舶电子设备研究所(中国船舶重工集团公司第七二六研究所) | Intelligent management and control system and method suitable for ship fire safety and computer medium |
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