CN113656459A - Fire protection application presentation method and system - Google Patents
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Abstract
The invention provides a fire protection application presentation method and system, and belongs to the technical field of fire protection monitoring. The invention discloses a fire protection application presentation method, which comprises the steps of obtaining environmental activity data, fire protection data and basic data of a current area; and obtaining a data analysis result according to the environment activity data, the fire fighting data and the basic data, and obtaining a fire fighting prediction result according to the data analysis result. According to the invention, the ability of the workers to find the fire-fighting hidden danger on site can be improved by analyzing the environmental activity data, the fire-fighting data and the basic data of the current region and obtaining the fire-fighting prediction result.
Description
Technical Field
The invention belongs to the technical field of fire control monitoring, and particularly relates to a fire control application presentation method and system.
Background
As an important link of urban management, the fire fighting field still stays at the level of traditional fire alarm state monitoring in the rail transit field. The problems of difficult supervision of fire-fighting facilities, early fire early warning, unclear fire scene conditions, blind command and scheduling and the like exist.
The existing fire-fighting monitoring system receives data of a plurality of monitoring centers through an Internet of things monitoring management platform to realize monitoring coordination of fire-fighting places supervised by the plurality of monitoring centers, so that when a fire disaster occurs, fire-fighting managers of different monitoring centers can know the position of the fire disaster, and take corresponding protective measures according to the relation between the fire disaster position and the fire-fighting place, meanwhile, the Internet of things monitoring management platform can fire the fire-fighting conditions corresponding to other monitoring centers, can mobilize fire-fighting materials of other monitoring centers to extinguish the fire when needed, strengthens the communication of each monitoring center of a fire-fighting jurisdiction area to improve the coordination of fire-fighting supervision and the fire-fighting materials in the whole fire-fighting jurisdiction area, analyzes the fire-fighting data in the fire-fighting jurisdiction area by arranging a hidden danger analysis module, and calculates the fire-fighting grade of the fire-fighting jurisdiction, so as to conveniently carry out hidden danger investigation to the fire-fighting site with high fire-fighting level.
Therefore, the existing fire fighting monitoring system has the following problems:
data are only acquired from a fire alarm and fire extinguishing system and are analyzed to obtain the fire level of a fire-fighting jurisdiction, and the fire data lack correlation with basic data in a building, so that fire level division lacks practical significance, and fire prediction and analysis are limited.
Disclosure of Invention
The invention aims to provide a fire fighting application presentation method and system, and aims to solve the problem that the existing fire fighting system is low in prediction accuracy.
In order to achieve the purpose, the invention adopts the technical scheme that:
a fire protection application presentation method, comprising:
step 1: acquiring environmental activity data of a current area;
step 2: obtaining a first data analysis result according to the environmental activity data;
and step 3: acquiring fire fighting data of a current area;
and 4, step 4: obtaining a second data analysis result according to the fire fighting data;
and 5: acquiring basic data of a current area;
step 6: obtaining a third data analysis result according to the basic data;
and 7: and carrying out digital twin matching on the first data analysis result, the second data analysis result and the third data analysis result to obtain a fire-fighting prediction result.
Preferably, the step 2: obtaining a first data analysis result according to the environmental activity data, comprising:
step 2.1: judging the size of the parameter in the environmental activity data and the corresponding first parameter threshold value; the environmental activity data includes: humidity, temperature, wind speed, precipitation, visit and construction;
step 2.2: if any parameter in the environmental activity data is larger than a corresponding first parameter threshold value, outputting an environmental parameter analysis result according to a first prediction table;
step 2.3: and obtaining a first data analysis result according to the environment parameter analysis result.
Preferably, the first data analysis result is:
and f (ψ 1) ([ T, T1, T2, T3, T4, T5, T6], wherein T1 represents a humidity parameter analysis result, T2 represents a temperature parameter analysis result, T3 represents a wind speed parameter analysis result, T4 represents a precipitation parameter analysis result, T5 visit parameter analysis result, T6 construction parameter analysis result, T1 a + T2 a + T3 c + T4 d + T5 e + T6 f, a represents a humidity parameter weight configuration, b represents a temperature parameter weight configuration, c represents a wind speed parameter weight configuration, d represents a precipitation parameter weight configuration, e represents a visit parameter weight configuration, and f represents a construction parameter weight configuration.
Preferably, the step 4: obtaining a second data analysis result according to the fire fighting data, comprising:
step 4.1: judging the size of the parameter in the fire-fighting data and the corresponding second parameter threshold value; the fire protection data includes: smoke concentration, ambient temperature, residual current and loop current;
step 4.2: if two arbitrary parameters in the fire fighting data are larger than corresponding second parameter thresholds, outputting a first fire fighting parameter analysis result according to a second prediction table;
step 4.3: if any parameter in the fire-fighting data is larger than the corresponding second parameter threshold value, acquiring a data change slope of the fire-fighting data at a preset interval and outputting a second fire-fighting parameter analysis result according to a third prediction table;
step 4.4: and obtaining a second data analysis result according to the first fire fighting parameter analysis result and the second fire fighting parameter analysis result.
Preferably, the second data analysis result is:
f (ψ 2) ═ H, R1, R2, R3, R4, H1, H2, H3, H4, where R1 indicates a first smoke concentration analysis result, a R2 first ambient temperature analysis result, a R3 first residual current analysis result, a R4 first loop current analysis result, an H1 second smoke concentration analysis result, an H2 second ambient temperature analysis result, an H3 second residual current analysis result, an H4 second loop current analysis result; H-R1 a + R2 b + R3 c + R4 d + H1 e + H2 f + H3 g + H4H, a denotes a first smoke concentration parameter weight configuration, b denotes a first ambient temperature parameter weight configuration, c denotes a first residual current parameter weight configuration, d denotes a first loop current parameter weight configuration, e denotes a second smoke concentration parameter weight configuration, f denotes a second loop temperature parameter weight configuration, g denotes a second residual current parameter weight configuration, and H denotes a second loop current parameter weight configuration.
Preferably, the step 6: obtaining a third data analysis result according to the basic data, comprising:
and obtaining a third data analysis result according to the room fire-resistant grade, the decoration materials and the proportion of the stored articles according to a fourth prediction table.
Preferably, the third data analysis result comprises:
f (ψ 3) [ a, a1, a2, A3], where a1 denotes a room fire resistance rating parameter analysis result, a2 denotes a finishing material parameter analysis result, A3 denotes a storage item ratio parameter analysis result, a ═ a1 a + a2 b + A3 c, a denotes a room fire resistance rating parameter weight arrangement, b denotes a finishing material parameter weight arrangement, and c denotes a storage item ratio parameter weight arrangement.
Preferably, the step 7: performing digital twin matching on the first data analysis result, the second data analysis result and the third data analysis result to obtain a fire-fighting prediction result, wherein the method comprises the following steps:
the formula is adopted:
f(x)＝[R,G,B]
obtaining a fire-fighting prediction result; wherein R is 255, G is 255-G (T + a) H, B is 255-B (T + a) H, G represents a first correction coefficient, and B represents a second correction coefficient.
The invention also provides a fire protection application presentation system, comprising:
the environment activity data acquisition module is used for acquiring environment activity data of the current area;
the first data analysis module is used for obtaining a first data analysis result according to the environmental activity data;
the fire-fighting data acquisition module is used for acquiring fire-fighting data of the current area;
the second data analysis module is used for obtaining a second data analysis result according to the fire fighting data;
the basic data acquisition module is used for acquiring basic data of the current area;
the third data analysis module is used for obtaining a third data analysis result according to the basic data;
and the fire-fighting prediction result construction module is used for carrying out digital twin matching on the first data analysis result, the second data analysis result and the third data analysis result to obtain a fire-fighting prediction result.
The fire fighting application presentation method and the system provided by the invention have the beneficial effects that: compared with the prior art, the fire protection application presentation method comprises the steps of obtaining environmental activity data, fire protection data and basic data of a current area; and obtaining a data analysis result according to the environment activity data, the fire fighting data and the basic data, and obtaining a fire fighting prediction result according to the data analysis result. According to the invention, the ability of the workers to find the fire-fighting hidden danger on site can be improved by analyzing the environmental activity data, the fire-fighting data and the basic data of the current region and obtaining the fire-fighting prediction result.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic diagram of a fire fighting application presentation device according to an embodiment of the present invention.
Fig. 2 is a structural diagram of a fire protection application presentation device according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a prediction table according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention aims to provide a fire fighting application presentation method and system, and aims to solve the problem that the existing fire fighting system is low in prediction accuracy.
In order to achieve the purpose, the invention adopts the technical scheme that:
a fire protection application presentation method, comprising:
step 1: acquiring environmental activity data of a current area;
step 2: obtaining a first data analysis result according to the environmental activity data;
further, step 2 specifically includes:
step 2.1: judging the size of the parameter in the environmental activity data and the corresponding first parameter threshold value; the environmental activity data includes: humidity, temperature, wind speed, precipitation, visit and construction;
step 2.2: if any parameter in the environmental activity data is larger than the corresponding first parameter threshold value, outputting an environmental parameter analysis result according to a first prediction table;
step 2.3: and obtaining a first data analysis result according to the environment parameter analysis result. Wherein the first data analysis result is:
and f (ψ 1) ([ T, T1, T2, T3, T4, T5, T6], wherein T1 represents a humidity parameter analysis result, T2 represents a temperature parameter analysis result, T3 represents a wind speed parameter analysis result, T4 represents a precipitation parameter analysis result, T5 visit parameter analysis result, T6 construction parameter analysis result, T1 a + T2 a + T3 c + T4 d + T5 e + T6 f, a represents a humidity parameter weight configuration, b represents a temperature parameter weight configuration, c represents a wind speed parameter weight configuration, d represents a precipitation parameter weight configuration, e represents a visit parameter weight configuration, and f represents a construction parameter weight configuration.
And step 3: acquiring fire fighting data of a current area;
and 4, step 4: obtaining a second data analysis result according to the fire fighting data;
further, step 4 specifically includes:
step 4.1: judging the size of the parameter in the fire-fighting data and the corresponding second parameter threshold value; the fire fighting data includes: smoke concentration, ambient temperature, residual current and loop current;
step 4.2: if two arbitrary parameters in the fire-fighting data are larger than the corresponding second parameter threshold values, outputting a first fire-fighting parameter analysis result according to a second prediction table;
step 4.3: if any parameter in the fire-fighting data is larger than the corresponding second parameter threshold value, acquiring a data change slope of the fire-fighting data at a preset interval and outputting a second fire-fighting parameter analysis result according to a third prediction table;
step 4.4: and obtaining a second data analysis result according to the first fire fighting parameter analysis result and the second fire fighting parameter analysis result. Wherein the second data analysis result is:
f (ψ 2) ═ H, R1, R2, R3, R4, H1, H2, H3, H4, where R1 indicates a first smoke concentration analysis result, a R2 first ambient temperature analysis result, a R3 first residual current analysis result, a R4 first loop current analysis result, an H1 second smoke concentration analysis result, an H2 second ambient temperature analysis result, an H3 second residual current analysis result, an H4 second loop current analysis result; H-R1 a + R2 b + R3 c + R4 d + H1 e + H2 f + H3 g + H4H, a denotes a first smoke concentration parameter weight configuration, b denotes a first ambient temperature parameter weight configuration, c denotes a first residual current parameter weight configuration, d denotes a first loop current parameter weight configuration, e denotes a second smoke concentration parameter weight configuration, f denotes a second loop temperature parameter weight configuration, g denotes a second residual current parameter weight configuration, and H denotes a second loop current parameter weight configuration.
And 5: acquiring basic data of a current area;
step 6: obtaining a third data analysis result according to the basic data;
further, step 6 specifically includes:
and obtaining a third data analysis result according to the room fire-resistant grade, the decoration materials and the proportion of the stored articles according to a fourth prediction table. Wherein the third data analysis result comprises:
f (ψ 3) [ a, a1, a2, A3], where a1 denotes a room fire resistance rating parameter analysis result, a2 denotes a finishing material parameter analysis result, A3 denotes a storage item ratio parameter analysis result, a ═ a1 a + a2 b + A3 c, a denotes a room fire resistance rating parameter weight arrangement, b denotes a finishing material parameter weight arrangement, and c denotes a storage item ratio parameter weight arrangement.
And 7: and carrying out digital twin matching on the first data analysis result, the second data analysis result and the third data analysis result to obtain a fire-fighting prediction result.
Further, step 7 specifically includes:
the formula is adopted:
f(x)＝[R,G,B]
obtaining a fire-fighting prediction result; wherein R is 255, G is 255-G (T + a) H, B is 255-B (T + a) H, G represents a first correction coefficient, and B represents a second correction coefficient.
Referring to fig. 1, the invention further provides a fire protection application presentation device, which includes a controller 1, an association system 2, a basic data acquisition module 3, an external data acquisition module 7, a data processing module 4, a digital twin matching module 5, and a presentation module 6. Wherein, the controller 1 is a controller of each fire-fighting subsystem, and the fire alarm state data can be directly used for state presentation; the analog quantity data can be matched with the digital twin through data analysis for display presentation.
The related system 2 mainly comprises an electric power monitoring system, an electromechanical monitoring system, a video monitoring system and the like; the basic data acquisition module 3 is used for acquiring the fire resistance grade of a room, decoration materials and the fire prevention data of stored (including mobile) articles; the external data acquisition module 7 is used for acquiring weather information and data of non-production activities; the data processing module 4 is internally provided with an expert processing module and comprises a fusion superposition algorithm and a historical mutation algorithm; and the digital twin matching module 5 is used for sending the data processed by the data processing module 4 to the presentation module for data visualization.
The invention further describes a fire fighting application presentation method by taking an urban rail transit underground station car control room as an example.
Referring to fig. 2-3, in the present invention, the automatic fire alarm system transmits real-time information of air temperature and smoke concentration through its built-in controller, and the electric fire monitoring system transmits residual current and loop temperature of its power loop through its built-in controller. The power monitoring system transmits the active power and the loop current of the power loop through the built-in controller of the power monitoring system. The electromechanical monitoring system transmits the collected room temperature, fan gear and rotating speed through a built-in controller of the electromechanical monitoring system.
In the invention, external weather information and non-production activity information preset in a room. The data analysis result of the part can be obtained through an f (psi 1) activity analysis algorithm. In particular, the method comprises the following steps of,
acquiring real-time weather information:
"humidity": 81% ",
the ' temperature ' is 17 ',
"wind speed" < grade 3",
the precipitation is rain,
and comparing the acquired information with the set 4 parameter thresholds, and starting to output a non-zero result when any parameter exceeds the threshold, wherein the non-zero result is obtained by table look-up. It should be noted that the data in the table are obtained empirically and experimentally.
Calling site non-production activity information:
"internal" means "visiting",
the exterior is the construction,
and comparing the acquired information with the set 2 parameter thresholds, and starting to output a non-zero result when any parameter exceeds the threshold, wherein the non-zero result is obtained by table look-up.
f (ψ 1) output array [ T, T1, T2, T3, T4, T5, T6], where T1, T2, T3, T4, T5, T6 are output results of each key parameter, and T is a value of interest T ═ T1 × + T2 b + T3 × c + T4 × + T5 × e + T6 × f (ψ 1). The abcdef is the weight configuration of each key parameter and is obtained by checking the configuration.
Further, the following examples of the table lookup and the weight reconfiguration in the present invention:
acquiring real-time weather information:
"humidity": 74% ",
the ' temperature ' is 34 ',
"wind speed" <2 level ",
0 percent of precipitation,
calling site non-production activity information:
the "inside" means "none",
the external part is not,
acquiring a parameter threshold value set by information:
humidity "-30%", temperature "-30%", wind speed "-4 level", precipitation "-10", "inside" -no "," outside "-no".
Obtaining the weight configuration of key parameters of abcdef:
"a":"0.1","b":"0.3","c":"0.1","d":"0.1","e":"0.15","f":"0.25"
the above information is compared by a parameter threshold, and the "temperature" parameter exceeds the threshold to output a non-zero result, T2 being 0.1 (as in fig. 3). Otherwise, T1, T3, T4, T5, and T6 output results as 0. Then T-T2 b-0.1-0.3-0.03.
The invention can obtain the data analysis result of the part by fusing the superposition algorithm and the time-threshold mutation algorithm through f (psi 2). Further:
f (ψ 2) output array [ H, R1, R2, R3, R4, H1, H2, H3, H4 ].
Acquiring real-time key information according to the configuration of each fire-fighting system:
the smoke concentration is 0.5 and 0.1 percent,
"ambient temperature": 17,18",
"residual current": 56,20,300",
the loop current is 5.1, 3',
comparing the acquired information with the set 4 parameter thresholds, starting to output a non-zero result when any two parameters exceed the thresholds, wherein the non-zero result is obtained by table lookup, and R1, R2, R3 and R4 are output results of each key parameter of the fusion superposition algorithm.
And comparing the acquired information with the set 4 parameter thresholds, and calling historical data if any parameter exceeds the threshold. And the calculator changes the slope s at every fixed interval, compares the slope s with a slope threshold, and starts to output a non-zero result when the parameter exceeds the threshold, wherein the non-zero result is obtained by table look-up, and H1, H2, H3 and H4 are output results of each key parameter of the time-threshold mutation algorithm.
H is the value of interest derived from f (ψ 2).
H-R1 a + R2 b + R3 c + R4 d + H1 e + H2 f + H3 g + H4H. Wherein, abcdefgh is the weight configuration of each key parameter and is obtained by checking the configuration.
In the present invention, the fire-resistant rating of the room (1,2,3,4), the finishing material (A, B1, B2, B3), the proportion of the storage goods (type of storage goods: A: 0%; B: 0%; C: 0%; D: 30%; E: 70%). And obtaining the data analysis result of the part through an f (psi 3) basic data matching algorithm.
In practical applications, a1 is the output obtained by looking up a database table according to the fire rating of a room. A2 is an output result obtained by looking up a database table according to room finishing materials. The output result a3 ═ a 0% + b 0% + c 0% + d 30% + e 70%, where a \ b \ c \ d \ e is obtained by looking up the database table according to the storage item risk value, and the percentage coefficient is the storage item ratio.
f (ψ 3) output array [ a, a1, a2, A3], where a1, a2, A3 are the output results of each key parameter, and a is the attention value given by f (ψ 3) ═ a1 a + a2 b + A3 c. The abc is the weight configuration of each key parameter and is obtained by checking the configuration.
In the invention, the analysis results of f (psi 1), f (psi 2) and f (psi 3) are subjected to digital twin matching f (x), the results are transmitted to a presentation module, and the results are displayed by a display module, wherein the prediction results of intelligent fire fighting are displayed by RGB from (255, 255, 255) to (255, 0, 0).
In the present invention, an analysis result of f (ψ 1) of T, f (ψ 2) and an analysis result of H, f (ψ 3) are a.
(x) outputting an array [ R, G, B ];
wherein, R is 255, G is 255-G (T + A) H, G is a correction coefficient, and is obtained by checking the configuration. B is 255-B (T + a) H, B is a correction coefficient, and is obtained by looking up the configuration. The rendering module may use this RGB value fill graph for fire protection rendering.
The invention also provides a fire protection application presentation system, comprising:
the environment activity data acquisition module is used for acquiring environment activity data of the current area;
the first data analysis module is used for obtaining a first data analysis result according to the environmental activity data;
the fire-fighting data acquisition module is used for acquiring fire-fighting data of the current area;
the second data analysis module is used for obtaining a second data analysis result according to the fire fighting data;
the basic data acquisition module is used for acquiring basic data of the current area;
the third data analysis module is used for obtaining a third data analysis result according to the basic data;
and the fire-fighting prediction result construction module is used for carrying out digital twin matching on the first data analysis result, the second data analysis result and the third data analysis result to obtain a fire-fighting prediction result.
The fire fighting application presentation method and the system provided by the invention have the beneficial effects that: compared with the prior art, the fire protection application presentation method comprises the steps of obtaining environmental activity data, fire protection data and basic data of a current area; and obtaining a data analysis result according to the environment activity data, the fire fighting data and the basic data, and obtaining a fire fighting prediction result according to the data analysis result. According to the invention, the ability of the workers to find the fire-fighting hidden danger on site can be improved by analyzing the environmental activity data, the fire-fighting data and the basic data of the current region and obtaining the fire-fighting prediction result.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (9)
1. A fire protection application presentation method, comprising:
step 1: acquiring environmental activity data of a current area;
step 2: obtaining a first data analysis result according to the environmental activity data;
and step 3: acquiring fire fighting data of a current area;
and 4, step 4: obtaining a second data analysis result according to the fire fighting data;
and 5: acquiring basic data of a current area;
step 6: obtaining a third data analysis result according to the basic data;
and 7: and carrying out digital twin matching on the first data analysis result, the second data analysis result and the third data analysis result to obtain a fire-fighting prediction result.
2. A fire protection application presentation method as claimed in claim 1, wherein said step 2: obtaining a first data analysis result according to the environmental activity data, comprising:
step 2.1: judging the size of the parameter in the environmental activity data and the corresponding first parameter threshold value; the environmental activity data includes: humidity, temperature, wind speed, precipitation, visit and construction;
step 2.2: if any parameter in the environmental activity data is larger than a corresponding first parameter threshold value, outputting an environmental parameter analysis result according to a first prediction table;
step 2.3: and obtaining a first data analysis result according to the environment parameter analysis result.
3. A fire protection application presentation method as claimed in claim 2, wherein said first data analysis result is:
and f (ψ 1) ([ T, T1, T2, T3, T4, T5, T6], wherein T1 represents a humidity parameter analysis result, T2 represents a temperature parameter analysis result, T3 represents a wind speed parameter analysis result, T4 represents a precipitation parameter analysis result, T5 visit parameter analysis result, T6 construction parameter analysis result, T1 a + T2 b + T3 c + T4 d + T5 e + + T6 f, a represents a humidity parameter weight configuration, b represents a temperature parameter weight configuration, c represents a wind speed parameter weight configuration, d represents a precipitation parameter weight configuration, e represents a visit parameter weight configuration, and f represents a construction parameter weight configuration.
4. A fire protection application presentation method as claimed in claim 1, wherein said step 4: obtaining a second data analysis result according to the fire fighting data, comprising:
step 4.1: judging the size of the parameter in the fire-fighting data and the corresponding second parameter threshold value; the fire protection data includes: smoke concentration, ambient temperature, residual current and loop current;
step 4.2: if two arbitrary parameters in the fire fighting data are larger than corresponding second parameter thresholds, outputting a first fire fighting parameter analysis result according to a second prediction table;
step 4.3: if any parameter in the fire-fighting data is larger than the corresponding second parameter threshold value, acquiring a data change slope of the fire-fighting data at a preset interval and outputting a second fire-fighting parameter analysis result according to a third prediction table;
step 4.4: and obtaining a second data analysis result according to the first fire fighting parameter analysis result and the second fire fighting parameter analysis result.
5. A fire protection application presentation method as claimed in claim 4, wherein said second data analysis result is:
f (ψ 2) ═ H, R1, R2, R3, R4, H1, H2, H3, H4, where R1 indicates a first smoke concentration analysis result, a R2 first ambient temperature analysis result, a R3 first residual current analysis result, a R4 first loop current analysis result, an H1 second smoke concentration analysis result, an H2 second ambient temperature analysis result, an H3 second residual current analysis result, an H4 second loop current analysis result; H-R1 a + R2 b + R3 c + R4 d + H1 e + H2 f + H3 g + H4H, a denotes a first smoke concentration parameter weight configuration, b denotes a first ambient temperature parameter weight configuration, c denotes a first residual current parameter weight configuration, d denotes a first loop current parameter weight configuration, e denotes a second smoke concentration parameter weight configuration, f denotes a second loop temperature parameter weight configuration, g denotes a second residual current parameter weight configuration, and H denotes a second loop current parameter weight configuration.
6. A fire protection application presentation method as claimed in claim 1, wherein said step 6: obtaining a third data analysis result according to the basic data, comprising:
and obtaining a third data analysis result according to the room fire-resistant grade, the decoration materials and the proportion of the stored articles according to a fourth prediction table.
7. A fire protection application presentation method as claimed in claim 6, wherein said third data analysis result comprises:
f (ψ 3) [ a, a1, a2, A3], where a1 denotes a room fire resistance rating parameter analysis result, a2 denotes a finishing material parameter analysis result, A3 denotes a storage item ratio parameter analysis result, a ═ a1 a + a2 b + A3 c, a denotes a room fire resistance rating parameter weight arrangement, b denotes a finishing material parameter weight arrangement, and c denotes a storage item ratio parameter weight arrangement.
8. A fire protection application presentation method as claimed in claim 1, wherein said step 7: performing digital twin matching on the first data analysis result, the second data analysis result and the third data analysis result to obtain a fire-fighting prediction result, wherein the method comprises the following steps:
the formula is adopted:
f(x)＝[R,G,B]
obtaining a fire-fighting prediction result; wherein R is 255, G is 255-G (T + a) H, B is 255-B (T + a) H, G represents a first correction coefficient, and B represents a second correction coefficient.
9. A fire protection application presentation system, comprising:
the environment activity data acquisition module is used for acquiring environment activity data of the current area;
the first data analysis module is used for obtaining a first data analysis result according to the environmental activity data;
the fire-fighting data acquisition module is used for acquiring fire-fighting data of the current area;
the second data analysis module is used for obtaining a second data analysis result according to the fire fighting data;
the basic data acquisition module is used for acquiring basic data of the current area;
the third data analysis module is used for obtaining a third data analysis result according to the basic data;
and the fire-fighting prediction result construction module is used for carrying out digital twin matching on the first data analysis result, the second data analysis result and the third data analysis result to obtain a fire-fighting prediction result.
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