CN116227763B - Visual model-based fire emergency command method and system - Google Patents
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Abstract
The invention discloses a fire emergency command method and a fire emergency command system based on a visual model, which are applied to the technical field of data processing, wherein the method comprises the following steps: and (3) by acquiring basic building information to be monitored, performing simulation modeling according to the building space geometric information and the building space positioning information, and generating a visual digital building model. And acquiring fire scene information, inputting the origin position of the fire and the initial grade of the fire into a visual digital building model, and acquiring a smoke spreading path and a fire spreading path. Screening a plurality of escape paths and a plurality of fire extinguishing paths according to the fire spreading path. Traversing a plurality of escape paths according to the smoke spreading path to generate a plurality of escape optimal time zones. And carrying out fire emergency command according to the plurality of fire extinguishing paths, the plurality of escape paths and the plurality of escape optimal time zones. The technical problems of low efficiency and high acquisition difficulty in the acquisition of the fire emergency scheme in the prior art are solved.
Description
Technical Field
The invention relates to the field of data processing, in particular to a firefighting emergency command method and system based on a visual model.
Background
With the development of urban, the living density of cities is higher and higher, and urban fire hazard to human beings is larger and larger. In the prior art, the fire-fighting rescue process is increased in fire-fighting emergency command difficulty due to the complexity of various building internal structures, and the emergency command is mostly conducted by experts, so that the process requires the experts to consume a large amount of time, a specific emergency command scheme is planned, and the scheme acquisition efficiency is low.
Therefore, the fire emergency scheme in the prior art has the technical problems of low efficiency and great acquisition difficulty.
Disclosure of Invention
The application provides a fire emergency command method and a fire emergency command system based on a visual model, which solve the technical problems of low efficiency and high acquisition difficulty in the acquisition of a fire emergency scheme in the prior art.
The application provides a firefighting emergency command method based on a visual model, which comprises the following steps: acquiring basic building information to be monitored, wherein the basic building information to be monitored comprises building space geometric information and building space positioning information; performing simulation modeling according to the building space geometric information and the building space positioning information to generate a visual digital building model; acquiring fire scene information, wherein the fire scene information comprises a fire origin position and a fire initial grade; inputting the fire origin position and the fire initial grade into the visual digital building model to obtain a smoke spreading path and a fire spreading path; screening a plurality of escape paths and a plurality of fire extinguishing paths according to the fire spreading path; traversing the escape paths according to the smoke spreading path to generate a plurality of escape optimal time zones; and carrying out fire emergency command according to the plurality of fire extinguishing paths, the plurality of escape paths and the plurality of escape optimal time zones.
The application also provides a fire emergency command system based on the visual model, which comprises: the basic information acquisition module is used for acquiring basic information of a building to be monitored, wherein the basic information of the building to be monitored comprises geometrical information of a building space and positioning information of the building space; the visual digital model construction module is used for carrying out simulation modeling according to the building space geometric information and the building space positioning information to generate a visual digital building model; the fire scene information acquisition module is used for acquiring fire scene information, wherein the fire scene information comprises a fire origin position and a fire initial level; the spreading path acquisition module is used for inputting the fire origin position and the fire initial grade into the visual digital building model to acquire a smoke spreading path and a fire spreading path; the path screening and acquiring module is used for screening a plurality of escape paths and a plurality of fire extinguishing paths according to the fire spreading path; the escape time zone acquisition module is used for traversing the plurality of escape paths according to the smoke spreading path to generate a plurality of optimal escape time zones; and the emergency command module is used for carrying out fire-fighting emergency command according to the plurality of fire-extinguishing paths, the plurality of escape paths and the plurality of escape optimal time zones.
The application also provides an electronic device, comprising:
a memory for storing executable instructions;
and the processor is used for realizing the firefighting emergency command method based on the visual model when executing the executable instructions stored in the memory.
The embodiment of the application provides a computer readable storage medium which stores a computer program, and when the program is executed by a processor, the method for controlling firefighting emergency based on a visual model is realized.
According to the firefighting emergency command method and the firefighting emergency command system based on the visual model, basic information of a building to be monitored is obtained, simulation modeling is conducted according to building space geometric information and building space positioning information, and the visual digital building model is generated. And acquiring fire scene information, inputting the origin position of the fire and the initial grade of the fire into a visual digital building model, and acquiring a smoke spreading path and a fire spreading path. Screening a plurality of escape paths and a plurality of fire extinguishing paths according to the fire spreading path. Traversing a plurality of escape paths according to the smoke spreading path to generate a plurality of escape optimal time zones. And carrying out fire emergency command according to the plurality of fire extinguishing paths, the plurality of escape paths and the plurality of escape optimal time zones. The quick acquisition of the fire emergency command scheme is realized, and the acquisition difficulty of the fire emergency command scheme is reduced. The technical problems of low efficiency and high acquisition difficulty in the acquisition of the fire emergency scheme in the prior art are solved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly described below. It is apparent that the figures in the following description relate only to some embodiments of the present disclosure and are not limiting of the present disclosure.
Fig. 1 is a schematic flow chart of a firefighting emergency command method based on a visual model provided by an embodiment of the present application;
Fig. 2 is a schematic flow chart of a visual model-based fire emergency command method for generating a visual digital building model according to an embodiment of the present application;
Fig. 3 is a schematic flow chart of a visual model-based fire emergency command method for obtaining a command scheme matching model according to the embodiment of the application;
Fig. 4 is a schematic structural diagram of a system of a fire emergency command method based on a visual model according to an embodiment of the present application;
Fig. 5 is a schematic structural diagram of system electronic equipment of a fire emergency command method based on a visual model according to an embodiment of the present invention.
Reference numerals illustrate: the system comprises a basic information acquisition module 11, a visual digital model construction module 12, a fire scene information acquisition module 13, an spreading path acquisition module 14, a path screening acquisition module 15, an escape time zone acquisition module 16 and an emergency command module 17.
Detailed Description
Example 1
The present application will be further described in detail with reference to the accompanying drawings, for the purpose of making the objects, technical solutions and advantages of the present application more apparent, and the described embodiments should not be construed as limiting the present application, and all other embodiments obtained by those skilled in the art without making any inventive effort are within the scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.
In the following description, the terms "first", "second", "third" and the like are merely used to distinguish similar objects and do not represent a particular ordering of the objects, it being understood that the "first", "second", "third" may be interchanged with a particular order or sequence, as permitted, to enable embodiments of the application described herein to be practiced otherwise than as illustrated or described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the application only.
While the present application makes various references to certain modules in a system according to embodiments of the present application, any number of different modules may be used and run on a user terminal and/or server, the modules are merely illustrative, and different aspects of the system and method may use different modules.
A flowchart is used in the present application to describe the operations performed by a system according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in order precisely. Rather, the various steps may be processed in reverse order or simultaneously, as desired. Also, other operations may be added to or removed from these processes.
As shown in fig. 1, an embodiment of the present application provides a fire emergency command method based on a visual model, including:
S10: acquiring basic building information to be monitored, wherein the basic building information to be monitored comprises building space geometric information and building space positioning information;
s20: performing simulation modeling according to the building space geometric information and the building space positioning information to generate a visual digital building model;
s30: acquiring fire scene information, wherein the fire scene information comprises a fire origin position and a fire initial grade;
Specifically, basic information of a building to be monitored is obtained, wherein the basic information of the building to be monitored comprises geometric information of the building space, namely size information of each position of the building space, building type, and positioning information of each facility and area in the building space, namely specific positioning of each structural facility position in the building space. Then, simulation modeling is carried out according to the building space geometric information and the building space positioning information, a visual digital building model is built, and the building of the digital building model is carried out through commonly used model building software when the visual digital building model is built, including but not limited to BIM software and other building software. Further acquiring fire scene information, wherein the fire scene information comprises specific fire origin position information and fire initial grade information, wherein the fire initial grade is acquired according to the preset time of fire development, such as the fire condition after 10 minutes of fire development, and the fire initial grade is rated.
As shown in fig. 2, the method S20 provided by the embodiment of the present application further includes:
s21: building structure simulation is carried out by traversing the building space geometric information and the building space positioning information, and a building structure simulation result is generated;
S22: extracting building facility types and building facility positioning information according to the basic building information to be monitored;
s23: traversing the building facility type and matching the facility ignition temperature;
S24: and carrying out facility simulation in the building structure simulation result according to the building facility type, the building facility positioning information and the facility ignition temperature, and generating the visual digital building model.
Specifically, building space geometric information and the building space positioning information are traversed to perform building structure simulation, and a building structure simulation result is generated, wherein the building structure simulation result comprises a specific size structure of a building to be monitored. And then extracting building facility types and building facility positioning information according to basic building information to be monitored, namely acquiring building types of buildings, such as residential buildings, commercial buildings or storage warehouses, and positioning information of internal facilities of the buildings, such as fire protection facilities, storage facilities, fireproof facilities, ventilation window positions and the like. Traversing the types of the building facilities, matching the ignition point temperatures of the facilities, namely traversing the categories of the facilities in the building, and matching the ignition point temperatures of the facilities, wherein the ignition point temperatures are specific ignition point temperatures of the facilities. Further, according to the type of the building facilities, the positioning information of the building facilities and the temperature of the ignition points of the facilities, the facilities are simulated in the simulation result of the building structure, the visual digital building model is generated, and then the visual digital building model is built.
The method S20 provided by the embodiment of the application further comprises the following steps:
s25: extracting ventilation position information and wind direction characteristic information according to the basic information of the building to be monitored;
S26: and performing environment simulation according to the ventilation position information and the wind direction characteristic information to generate the visual digital building model.
Specifically, according to basic information of a building to be monitored, extracting ventilation position information and wind direction characteristic information, wherein the ventilation position information is a specific position of a ventilation window in the building. And performing environment simulation according to the ventilation position information and the wind direction characteristic information, namely adding the information into the visual digital building model to generate a new visual digital building model.
The method S26 provided by the embodiment of the application further comprises the following steps:
S261: taking the building structure simulation result as a first screening condition, and acquiring first fire record data based on fire fighting big data;
s262: taking the building facility type, the building facility positioning information, the facility ignition temperature, the ventilation position information and the wind direction characteristic information as second screening conditions, and acquiring second fire record data based on the first fire record data;
S263: acquiring fire origin position record data, fire initial grade record data, smoke concentration record data, fire spreading path record data and fire extinguishing path record data according to the second fire record data;
The method S26 provided by the embodiment of the application further comprises the following steps:
S264: generating smoke spreading path identification data and optimal escape time zone identification data according to the smoke concentration record data;
S265: training a command scheme matching model according to the fire origin position record data, the fire initial grade record data, the smoke concentration record data, the fire spreading path record data, the fire extinguishing path record data, the smoke spreading path identification data and the optimal escape time zone identification data;
S266: and carrying out functional simulation in the building structure simulation result according to the command scheme matching model to generate the visual digital building model.
Specifically, the building structure simulation result is used as a first screening condition, and first fire record data are acquired according to the fire fighting big data. And then, on the basis of the first fire record data, screening the first fire record data by taking the building facility type, the building facility positioning information, the facility ignition temperature, the ventilation position information and the wind direction characteristic information as second screening conditions, and collecting the second fire record data. Further, according to the second fire record data, fire origin position record data, fire initial grade record data, smoke concentration record data, fire spreading path record data and fire extinguishing path record data are obtained. Further, according to the flue gas concentration record data, namely the delay concentration increase speeds at different positions, determining the path of flue gas spreading, and generating delay spreading path identification data and optimal escape time zone identification data, namely the path of flue gas spreading and the time interval when the flue gas spreading reaches the dangerous threshold of the flue gas concentration. And then training a command scheme matching model according to fire origin position record data, fire initial grade record data, smoke concentration record data, fire spreading path record data, fire extinguishing path record data, smoke spreading path identification data and optimal escape time zone identification data. And carrying out functional simulation in the building structure simulation result according to the command scheme matching model to generate the visual digital building model.
As shown in fig. 3, the method S26 provided in the embodiment of the present application further includes:
s267: constructing a first functional layer according to the fire origin position record data, the fire initial grade record data, the smoke spreading path identification data and the optimal escape time zone identification data;
S268: constructing a second functional layer according to the fire origin position record data, the fire initial grade record data, the fire spreading path record data and the fire extinguishing path record data;
S269: and merging the first functional layer and the second functional layer as parallel nodes to generate the command scheme matching model.
Specifically, according to the origin position record data of the fire, the fire initial grade record data, the smoke spreading path identification data and the optimal escape time zone identification data are used for constructing a first functional layer. When the fire initial grade record data is acquired, a flame grade calibration table is constructed according to the color of the flame, the size of the flame and the space humidity, and the corresponding fire initial grade record data is acquired according to the flame grade calibration table. Further, a second functional layer is constructed based on the fire origin position record data, the fire initial level record data, the fire propagation path record data, and the fire extinguishing path record data. And merging the first functional layer and the second functional layer as parallel nodes to generate the command scheme matching model.
The method S267 provided by the embodiment of the application further comprises the following steps:
S2671: the fire origin position record data, the fire initial grade record data, the smoke spreading path identification data and the optimal escape time zone identification data are processed according to the following steps of 8:2, dividing the proportion to generate a first functional layer training data set and a first functional layer training data set test data set;
S2672: and performing supervised training based on the BP neural network according to the first functional layer training data set and the first functional layer training data set test data set to generate the first functional layer.
Specifically, when the first functional layer is constructed, the fire origin position record data, the fire initial grade record data, the smoke spreading path identification data and the optimal escape time zone identification data are recorded according to 8: and 2, dividing the ratio to generate a first functional layer training data set and a first functional layer training data set test data set. And further performing supervised training based on the BP neural network according to the first functional layer training data set and the first functional layer training data set test data set until the accuracy of the output result of the model can meet the preset accuracy, and completing training of the model to generate the first functional layer. The first functional layer is used for recording data according to the origin position of fire, recording data of the initial level of fire, obtaining a corresponding smoke spreading path and optimal escape time zone data.
The method S268 provided by the embodiment of the present application further includes:
S2681: and (3) the fire origin position record data, the fire initial grade record data, the fire spreading path record data and the fire extinguishing path record data are processed according to the following steps of 8:2, dividing the proportion to generate a second functional layer training data set and a second functional layer testing data set;
s2682: and performing supervised training based on a BP neural network according to the second functional layer training data set and the second functional layer testing data set to generate the second functional layer.
Specifically, the fire origin position record data, the fire initial grade record data, the fire spreading path record data and the fire extinguishing path record data are recorded according to 8: and 2, dividing the ratio to generate a second functional layer training data set and a second functional layer testing data set. Wherein the second functional layer training data set has a duty cycle of 8 and the second functional layer test data set has a duty cycle of 2. Further, according to the second functional layer training data set and the second functional layer testing data set, supervised training is performed based on the BP neural network, wherein the fire spreading path data and the fire extinguishing path record data are used as supervision data for model training, and training of the model is completed until the accuracy of the output result of the model can meet the preset accuracy, and a second functional layer is generated. The second functional layer is used for acquiring corresponding fire spreading path data and fire extinguishing path recording data according to the fire origin position recording data and the fire initial grade recording data.
S40: inputting the fire origin position and the fire initial grade into the visual digital building model to obtain a smoke spreading path and a fire spreading path;
s50: screening a plurality of escape paths and a plurality of fire extinguishing paths according to the fire spreading path;
S60: traversing the escape paths according to the smoke spreading path to generate a plurality of escape optimal time zones;
S70: and carrying out fire emergency command according to the plurality of fire extinguishing paths, the plurality of escape paths and the plurality of escape optimal time zones.
Specifically, the origin position of fire and the initial grade of fire are input into the visual digital building model to obtain a smoke spreading path and a fire spreading path. And then screening a plurality of escape paths and a plurality of fire extinguishing paths according to the fire spreading path. Traversing a plurality of escape paths according to the smoke spreading paths obtained by the visual digital building model, generating a plurality of optimal escape time zones, and obtaining optimal escape time intervals in each escape path. And finally, carrying out fire emergency command according to the plurality of fire extinguishing paths, the plurality of escape paths and the plurality of escape optimal time zones, so as to provide data guidance for the actual fire scene. The quick acquisition of the fire emergency command scheme is realized, and the acquisition difficulty of the fire emergency command scheme is reduced.
According to the technical scheme provided by the embodiment of the invention, the basic information of the building to be monitored is obtained, wherein the basic information of the building to be monitored comprises the geometric information of the building space and the positioning information of the building space. And performing simulation modeling according to the building space geometric information and the building space positioning information to generate a visual digital building model. Fire scene information is acquired, wherein the fire scene information comprises a fire origin position and a fire initial level. And inputting the fire origin position and the fire initial grade into the visual digital building model to obtain a smoke spreading path and a fire spreading path. And screening a plurality of escape paths and a plurality of fire extinguishing paths according to the fire spreading path. Traversing the escape paths according to the smoke spreading path to generate a plurality of escape optimal time zones. And carrying out fire emergency command according to the plurality of fire extinguishing paths, the plurality of escape paths and the plurality of escape optimal time zones. The quick acquisition of the fire emergency command scheme is realized, and the acquisition difficulty of the fire emergency command scheme is reduced. The technical problems of low efficiency and high acquisition difficulty in the acquisition of the fire emergency scheme in the prior art are solved.
Example two
Based on the same inventive concept as the firefighting emergency command method based on the visual model in the foregoing embodiment, the invention also provides a firefighting emergency command method based on the visual model, which can be realized by hardware and/or software, and can be generally integrated in electronic equipment for executing the method provided by any embodiment of the invention. As shown in fig. 4, the system includes:
a basic information acquisition module 11, configured to acquire basic information of a building to be monitored, where the basic information of the building to be monitored includes geometric information of a building space and positioning information of the building space;
The visual digital model construction module 12 is used for performing simulation modeling according to the building space geometric information and the building space positioning information to generate a visual digital building model;
A fire scene information acquisition module 13 for acquiring fire scene information, wherein the fire scene information includes a fire origin position and a fire initial level;
A spreading path acquisition module 14 for inputting the fire origin position and the fire initial level into the visual digital building model to acquire a smoke spreading path and a fire spreading path;
The path screening and acquiring module 15 is used for screening a plurality of escape paths and a plurality of fire extinguishing paths according to the fire spreading path;
an escape time zone obtaining module 16, configured to traverse the plurality of escape paths according to the smoke propagation path, and generate a plurality of escape optimal time zones;
the emergency command module 17 is used for performing fire-fighting emergency command according to the fire-fighting paths, the escape paths and the escape optimal time zones.
Further, the visual digital model construction module 12 is further configured to:
Building structure simulation is carried out by traversing the building space geometric information and the building space positioning information, and a building structure simulation result is generated;
extracting building facility types and building facility positioning information according to the basic building information to be monitored;
traversing the building facility type and matching the facility ignition temperature;
And carrying out facility simulation in the building structure simulation result according to the building facility type, the building facility positioning information and the facility ignition temperature, and generating the visual digital building model.
Further, the visual digital model construction module 12 is further configured to:
extracting ventilation position information and wind direction characteristic information according to the basic information of the building to be monitored;
and performing environment simulation according to the ventilation position information and the wind direction characteristic information to generate the visual digital building model.
Further, the visual digital model construction module 12 is further configured to:
taking the building structure simulation result as a first screening condition, and acquiring first fire record data based on fire fighting big data;
Taking the building facility type, the building facility positioning information, the facility ignition temperature, the ventilation position information and the wind direction characteristic information as second screening conditions, and acquiring second fire record data based on the first fire record data;
acquiring fire origin position record data, fire initial grade record data, smoke concentration record data, fire spreading path record data and fire extinguishing path record data according to the second fire record data;
generating smoke spreading path identification data and optimal escape time zone identification data according to the smoke concentration record data;
Training a command scheme matching model according to the fire origin position record data, the fire initial grade record data, the smoke concentration record data, the fire spreading path record data, the fire extinguishing path record data, the smoke spreading path identification data and the optimal escape time zone identification data;
and carrying out functional simulation in the building structure simulation result according to the command scheme matching model to generate the visual digital building model.
Further, the visual digital model construction module 12 is further configured to:
constructing a first functional layer according to the fire origin position record data, the fire initial grade record data, the smoke spreading path identification data and the optimal escape time zone identification data;
Constructing a second functional layer according to the fire origin position record data, the fire initial grade record data, the fire spreading path record data and the fire extinguishing path record data;
and merging the first functional layer and the second functional layer as parallel nodes to generate the command scheme matching model.
Further, the visual digital model construction module 12 is further configured to:
The fire origin position record data, the fire initial grade record data, the smoke spreading path identification data and the optimal escape time zone identification data are processed according to the following steps of 8:2, dividing the proportion to generate a first functional layer training data set and a first functional layer training data set test data set;
And performing supervised training based on the BP neural network according to the first functional layer training data set and the first functional layer training data set test data set to generate the first functional layer.
Further, the visual digital model construction module 12 is further configured to:
And (3) the fire origin position record data, the fire initial grade record data, the fire spreading path record data and the fire extinguishing path record data are processed according to the following steps of 8:2, dividing the proportion to generate a second functional layer training data set and a second functional layer testing data set;
And performing supervised training based on a BP neural network according to the second functional layer training data set and the second functional layer testing data set to generate the second functional layer.
The firefighting emergency command system based on the visual model provided by the embodiment of the invention can execute the firefighting emergency command system method based on the visual model provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
The included units and modules are only divided according to the functional logic, but are not limited to the above-mentioned division, so long as the corresponding functions can be realized; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Example III
Fig. 5 is a schematic structural diagram of an electronic device provided in a third embodiment of the present invention, and shows a block diagram of an exemplary electronic device suitable for implementing an embodiment of the present invention. The electronic device shown in fig. 5 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention. As shown in fig. 5, the electronic device includes a processor 31, a memory 32, an input device 33, and an output device 34; the number of processors 31 in the electronic device may be one or more, in fig. 5, one processor 31 is taken as an example, and the processors 31, the memory 32, the input device 33 and the output device 34 in the electronic device may be connected by a bus or other means, in fig. 5, by bus connection is taken as an example.
The memory 32 is used as a computer readable storage medium for storing software programs, computer executable programs and modules, such as program instructions/modules corresponding to a visual model-based fire emergency command method in an embodiment of the present invention. The processor 31 executes various functional applications and data processing of the computer device by running software programs, instructions and modules stored in the memory 32, i.e. implements a fire emergency command method based on a visual model as described above.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (4)
1. The firefighting emergency command method based on the visual model is characterized by comprising the following steps of:
Acquiring basic building information to be monitored, wherein the basic building information to be monitored comprises building space geometric information and building space positioning information;
Performing simulation modeling according to the building space geometric information and the building space positioning information to generate a visual digital building model;
acquiring fire scene information, wherein the fire scene information comprises a fire origin position and a fire initial grade;
Inputting the fire origin position and the fire initial grade into the visual digital building model to obtain a smoke spreading path and a fire spreading path;
Screening a plurality of escape paths and a plurality of fire extinguishing paths according to the fire spreading path;
traversing the escape paths according to the smoke spreading path to generate a plurality of escape optimal time zones;
performing fire emergency command according to the fire extinguishing paths, the escape paths and the escape optimal time zones;
the simulation modeling is performed according to the building space geometric information and the building space positioning information, and a visual digital building model is generated, which comprises the following steps:
Building structure simulation is carried out by traversing the building space geometric information and the building space positioning information, and a building structure simulation result is generated;
extracting building facility types and building facility positioning information according to the basic building information to be monitored;
traversing the building facility type and matching the facility ignition temperature;
Performing facility simulation in the building structure simulation result according to the building facility type, the building facility positioning information and the facility ignition temperature to generate the visual digital building model;
and performing facility simulation in the building structure simulation result according to the building facility type, the building facility positioning information and the facility ignition temperature to generate the visual digital building model, wherein the visual digital building model comprises the following steps:
extracting ventilation position information and wind direction characteristic information according to the basic information of the building to be monitored;
Performing environmental simulation according to the ventilation position information and the wind direction characteristic information to generate the visual digital building model;
The environmental simulation is carried out according to the ventilation position information and the wind direction characteristic information, and the visual digital building model is generated, and the visual digital building model comprises the following steps:
taking the building structure simulation result as a first screening condition, and acquiring first fire record data based on fire fighting big data;
Taking the building facility type, the building facility positioning information, the facility ignition temperature, the ventilation position information and the wind direction characteristic information as second screening conditions, and acquiring second fire record data based on the first fire record data;
acquiring fire origin position record data, fire initial grade record data, smoke concentration record data, fire spreading path record data and fire extinguishing path record data according to the second fire record data;
generating smoke spreading path identification data and optimal escape time zone identification data according to the smoke concentration record data;
Training a command scheme matching model according to the fire origin position record data, the fire initial grade record data, the smoke concentration record data, the fire spreading path record data, the fire extinguishing path record data, the smoke spreading path identification data and the optimal escape time zone identification data;
performing functional simulation in the building structure simulation result according to the command scheme matching model to generate the visual digital building model;
The training command scheme matching model according to the fire origin position record data, the fire initial grade record data, the smoke concentration record data, the fire spreading path record data, the fire extinguishing path record data, the smoke spreading path identification data and the optimal escape time zone identification data comprises the following steps:
constructing a first functional layer according to the fire origin position record data, the fire initial grade record data, the smoke spreading path identification data and the optimal escape time zone identification data;
Constructing a second functional layer according to the fire origin position record data, the fire initial grade record data, the fire spreading path record data and the fire extinguishing path record data;
combining the first functional layer and the second functional layer as parallel nodes to generate the command scheme matching model;
The first functional layer is constructed according to the fire origin position record data, the fire initial grade record data, the smoke spreading path identification data and the optimal escape time zone identification data, and comprises the following steps:
The fire origin position record data, the fire initial grade record data, the smoke spreading path identification data and the optimal escape time zone identification data are processed according to the following steps of 8:2, dividing the proportion to generate a first functional layer training data set and a first functional layer training data set test data set;
Performing supervised training based on a BP neural network according to the first functional layer training data set and the first functional layer training data set test data set to generate the first functional layer;
The construction of a second functional layer according to the fire origin position record data, the fire initial level record data, the fire spreading path record data and the fire extinguishing path record data, includes:
And (3) the fire origin position record data, the fire initial grade record data, the fire spreading path record data and the fire extinguishing path record data are processed according to the following steps of 8:2, dividing the proportion to generate a second functional layer training data set and a second functional layer testing data set;
And performing supervised training based on a BP neural network according to the second functional layer training data set and the second functional layer testing data set to generate the second functional layer.
2. A firefighting emergency command system based on a visualization model, wherein the system is configured to perform the method of claim 1, comprising:
The basic information acquisition module is used for acquiring basic information of a building to be monitored, wherein the basic information of the building to be monitored comprises geometrical information of a building space and positioning information of the building space;
The visual digital model construction module is used for carrying out simulation modeling according to the building space geometric information and the building space positioning information to generate a visual digital building model;
the fire scene information acquisition module is used for acquiring fire scene information, wherein the fire scene information comprises a fire origin position and a fire initial level;
The spreading path acquisition module is used for inputting the fire origin position and the fire initial grade into the visual digital building model to acquire a smoke spreading path and a fire spreading path;
The path screening and acquiring module is used for screening a plurality of escape paths and a plurality of fire extinguishing paths according to the fire spreading path;
The escape time zone acquisition module is used for traversing the plurality of escape paths according to the smoke spreading path to generate a plurality of optimal escape time zones;
And the emergency command module is used for carrying out fire-fighting emergency command according to the plurality of fire-extinguishing paths, the plurality of escape paths and the plurality of escape optimal time zones.
3. An electronic device, the electronic device comprising:
a memory for storing executable instructions;
the processor is used for realizing the visual model-based fire emergency command method according to claim 1 when executing the executable instructions stored in the memory.
4. A computer readable medium having stored thereon a computer program, which when executed by a processor implements a firefighting emergency command method based on a visualization model according to claim 1.
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| CN117436571B (en) * | 2023-09-21 | 2024-05-28 | 中国消防救援学院 | Remote water supply optimizing method and system |
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